{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:WUPG47IMMBE3P4TCBVHVOQRUFN","short_pith_number":"pith:WUPG47IM","canonical_record":{"source":{"id":"2502.17536","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-02-24T16:53:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0739108cbca6a5a4b84b02e3fab54835b687443246d2892549ad930c527655fa","abstract_canon_sha256":"fd383a69f72a300ee14f7afb3627c8a29c77c06409a3ea70eb31c9c27da73b78"},"schema_version":"1.0"},"canonical_sha256":"b51e6e7d0c6049b7f2620d4f5742342b78c1b0bea5a89d9ee64d3e6296cf57cf","source":{"kind":"arxiv","id":"2502.17536","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17536","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17536v1","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17536","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"pith_short_12","alias_value":"WUPG47IMMBE3","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"pith_short_16","alias_value":"WUPG47IMMBE3P4TC","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"pith_short_8","alias_value":"WUPG47IM","created_at":"2026-07-05T10:19:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:WUPG47IMMBE3P4TCBVHVOQRUFN","target":"record","payload":{"canonical_record":{"source":{"id":"2502.17536","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-02-24T16:53:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0739108cbca6a5a4b84b02e3fab54835b687443246d2892549ad930c527655fa","abstract_canon_sha256":"fd383a69f72a300ee14f7afb3627c8a29c77c06409a3ea70eb31c9c27da73b78"},"schema_version":"1.0"},"canonical_sha256":"b51e6e7d0c6049b7f2620d4f5742342b78c1b0bea5a89d9ee64d3e6296cf57cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:19:12.274104Z","signature_b64":"56T/XYiHE4AIjt+wl/h9+CcT3DjgAFavTt/6/70F6Vzf4b1vwaFdtwoEMM2Ii0oCUoiyJKSNoxlk94iiqM1ADA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b51e6e7d0c6049b7f2620d4f5742342b78c1b0bea5a89d9ee64d3e6296cf57cf","last_reissued_at":"2026-07-05T10:19:12.273647Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:19:12.273647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.17536","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+WT13s4TamRE9re4q0Ul2HwfIWNVNy2hWTYWvsrLz4byEgmv5rlLWuyP2lysI1LUyRm0zRKLDfZmO+blmT8mBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:08:44.802922Z"},"content_sha256":"1786ada72849e73a0d2fa01b06c94707af677909463d5a5b5797bb8972d993ff","schema_version":"1.0","event_id":"sha256:1786ada72849e73a0d2fa01b06c94707af677909463d5a5b5797bb8972d993ff"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:WUPG47IMMBE3P4TCBVHVOQRUFN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Arvind Gupta, Faisal Habib, Huaxiong Huang, Neda Aminnejad, Shixin Xu, Xiaoyan Li","submitted_at":"2025-02-24T16:53:47Z","abstract_excerpt":"This study addresses the challenge of reconstructing unseen ECG signals from PPG signals, a critical task for non-invasive cardiac monitoring. While numerous public ECG-PPG datasets are available, they lack the diversity seen in image datasets, and data collection processes often introduce noise, complicating ECG reconstruction from PPG even with advanced machine learning models. To tackle these challenges, we first introduce a novel synthetic ECG-PPG data generation technique using an ODE model to enhance training diversity. Next, we develop a novel subject-independent PPG-to-ECG reconstructi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17536","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2502.17536/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:19:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jBw5nodxDK51hhnctDgmyaXTtYBcAyjQttdw/Qnqg3tZSgvUHf0x5Q9z/dGXoBYiwT/5OfXKbTwkbvILfplbDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T20:08:44.803976Z"},"content_sha256":"3a42aaaf817330724d0f810eed423d25bbc2c67c8825d0b5b02fc7f8b9156b0d","schema_version":"1.0","event_id":"sha256:3a42aaaf817330724d0f810eed423d25bbc2c67c8825d0b5b02fc7f8b9156b0d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WUPG47IMMBE3P4TCBVHVOQRUFN/bundle.json","state_url":"https://pith.science/pith/WUPG47IMMBE3P4TCBVHVOQRUFN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WUPG47IMMBE3P4TCBVHVOQRUFN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T20:08:44Z","links":{"resolver":"https://pith.science/pith/WUPG47IMMBE3P4TCBVHVOQRUFN","bundle":"https://pith.science/pith/WUPG47IMMBE3P4TCBVHVOQRUFN/bundle.json","state":"https://pith.science/pith/WUPG47IMMBE3P4TCBVHVOQRUFN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WUPG47IMMBE3P4TCBVHVOQRUFN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:WUPG47IMMBE3P4TCBVHVOQRUFN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fd383a69f72a300ee14f7afb3627c8a29c77c06409a3ea70eb31c9c27da73b78","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-02-24T16:53:47Z","title_canon_sha256":"0739108cbca6a5a4b84b02e3fab54835b687443246d2892549ad930c527655fa"},"schema_version":"1.0","source":{"id":"2502.17536","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17536","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17536v1","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17536","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"pith_short_12","alias_value":"WUPG47IMMBE3","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"pith_short_16","alias_value":"WUPG47IMMBE3P4TC","created_at":"2026-07-05T10:19:12Z"},{"alias_kind":"pith_short_8","alias_value":"WUPG47IM","created_at":"2026-07-05T10:19:12Z"}],"graph_snapshots":[{"event_id":"sha256:3a42aaaf817330724d0f810eed423d25bbc2c67c8825d0b5b02fc7f8b9156b0d","target":"graph","created_at":"2026-07-05T10:19:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2502.17536/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study addresses the challenge of reconstructing unseen ECG signals from PPG signals, a critical task for non-invasive cardiac monitoring. While numerous public ECG-PPG datasets are available, they lack the diversity seen in image datasets, and data collection processes often introduce noise, complicating ECG reconstruction from PPG even with advanced machine learning models. To tackle these challenges, we first introduce a novel synthetic ECG-PPG data generation technique using an ODE model to enhance training diversity. Next, we develop a novel subject-independent PPG-to-ECG reconstructi","authors_text":"Arvind Gupta, Faisal Habib, Huaxiong Huang, Neda Aminnejad, Shixin Xu, Xiaoyan Li","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-02-24T16:53:47Z","title":"CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17536","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1786ada72849e73a0d2fa01b06c94707af677909463d5a5b5797bb8972d993ff","target":"record","created_at":"2026-07-05T10:19:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"fd383a69f72a300ee14f7afb3627c8a29c77c06409a3ea70eb31c9c27da73b78","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-02-24T16:53:47Z","title_canon_sha256":"0739108cbca6a5a4b84b02e3fab54835b687443246d2892549ad930c527655fa"},"schema_version":"1.0","source":{"id":"2502.17536","kind":"arxiv","version":1}},"canonical_sha256":"b51e6e7d0c6049b7f2620d4f5742342b78c1b0bea5a89d9ee64d3e6296cf57cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b51e6e7d0c6049b7f2620d4f5742342b78c1b0bea5a89d9ee64d3e6296cf57cf","first_computed_at":"2026-07-05T10:19:12.273647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:12.273647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"56T/XYiHE4AIjt+wl/h9+CcT3DjgAFavTt/6/70F6Vzf4b1vwaFdtwoEMM2Ii0oCUoiyJKSNoxlk94iiqM1ADA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:12.274104Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.17536","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1786ada72849e73a0d2fa01b06c94707af677909463d5a5b5797bb8972d993ff","sha256:3a42aaaf817330724d0f810eed423d25bbc2c67c8825d0b5b02fc7f8b9156b0d"],"state_sha256":"6577119aa60565b9b1088ebb6cddf2cc0e18dcce0009e73d29a8c8147415ccf3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A7L1uSaRPSVQH5Jv9oWOcdSDZXWxhMHyIJwlI73Du58H5QQZmAYWVI1eT8/MZ9Pct6lKYMgJmvbIT9EPX2urAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T20:08:44.809739Z","bundle_sha256":"fdf38dc69c213bb0694c16572ebd447fd7258ab637d6a9a527917cc8a15e7e3b"}}